Information can exist in many forms and sources. The ability to extract, model and analyses information, can provide significant commercial benefits. Big Data Analytics can assist organizations identify trends and adjust operational procedures to harness the results, to increase revenue and client experience.

This training course will provide a practitioner approach to identify requirements for the application of data science, how these can be adopted, technologies available, which analytical models may be appropriate to provide valuable data and how to make sense of Big Data and Analytics.

COURSE OBJECTIVES

By the end of the course, participants should be able to:

Understand the role of Big Data for their organization

Appreciate when to apply Data Analytics and the Best Methods of Approach

Consider How to Choose Appropriate Models and Technology for Big Data

Learn from case study examples and use case scenarios

Successfully achieve results from applying best practice in Data Analytics

DURATION

5 Days

WHO SHOULD ATTEND

This training course has been designed for senior executives, technical engineers and those involved in the technology, research and statistical analysis of corporate data.

This training course is suitable to a wide range of professionals but will greatly benefit:

Statistical and Research Analysts

Key Application Development and data Research Personnel

Technology Engineers, CTO and CIO

Strategic Development Directors

COURSE CONTENT

Day One: Big Data Analytics

Current Practices and trends in Big Data Analytics

Business Intelligence v Data Science

Analytical Architecture for Big Data

Roles for Big Data within the Technology and Commercial Enterprise

Key Drivers for Big Data Analytics

Case Study and Summary

Day Two: Data Analytics Models and Lifecycle

Data Analytics Lifecycle

Stage 1 - Discovery

Stage 2 - Preparation of Data

Stage 3 - Model Planning and Review

Stage 4 - Model Creation

Stage 5 - Communication Plan

Stage 6 - From Planning to Operation

Case Study and Summary

Day Three: Data Analytical Methods and Programs Overview

Overview of R Framework

Overview of Big Data Analytics

Exploratory Data Analysis

Statistical methods of Evaluation

Advanced Methods of Clustering

Advanced Theory and Methods of Association Rules

Advanced Theory and Methods of Regression

Case Study and Summary

Day Four: Advanced Theory and Methods Overview

Advanced Analytical Theory of Classification

Advanced Analytical Theory of Time Series Analysis

Advanced Analytical Theory of Textual Analysis

Technology and Tools for Advanced Data Analytics

Use Case and Assessment

Case Study and Summary

Day Five: Technology, Tools andAchieving Results

Unstructured Data Analytics

Advanced Analytical Tools in Database Analytics

How integrate Data Analytics

Current Best Practice Management and Approach for Project Delivery

Data Visualation Overview

Summary ad Case Study

GENERAL NOTES

·This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

·Training manuals and additional reference materials are provided to the participants.

·Upon successful completion of this course, participants will be issued with a certificate.